Books in the Neural Information Processing series series

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.

A survey of probabilistic approaches to modeling and understanding brain function.